Multivariate Analysis with Matlab and R - Figure Slides
Jan Graffelman(Author)
Chapman and Hall/CRC (Publisher)
Will be published approx. on 17. December 2015
Other
Undefined
978-1-4665-9972-7 (ISBN)
Unfortunately, price unknown
Not yet published
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Description
Clear, concise, and organized, Multivariate Analysis with MATLAB and R provides a self-contained introduction to the field of multivariate analysis. Integrating practical computations, the book explains the fundamental theory behind basic multivariate analysis techniques. It illustrates different types of analysis with examples from various disciplines and demonstrates how results can be obtained via computer instructions. The book presents a software toolbox of multivariate techniques and makes both MATLABĀ® and R datasets available on the web. Each chapter addresses a special topic, such as multivariate analysis with linear constraints, and offers related exercises.
More details
Language
English
Publishing group
Taylor & Francis
Target group
Professional and scholarly
Senior undergraduate and graduate students.
ISBN-13
978-1-4665-9972-7 (9781466599727)
Schweitzer Classification
Person
Content
Introduction. Matrix Algebra for Multivariate Analysis. Matlab Basics. S-Plus Basics. Principal Component Analysis. Factor Analysis. Canonical Correlation Analysis. Correspondence Analysis. Linearly Constrained Methods I: Redundancy Analysis and Canonical Correspondence Analysis. Principal Coordinate Analysis. Procrustes Analysis. Cluster Analysis. Discriminant Analysis. Multivariate Analysis of Variance.